Autor: Gilberto Toledo
Tutorial completo: Youtube
- Acesso remoto com SSH
ssh root@[SEU_IP]
Autor: Gilberto Toledo
Tutorial completo: Youtube
ssh root@[SEU_IP]
| """ | |
| The most atomic way to train and run inference for a GPT in pure, dependency-free Python. | |
| This file is the complete algorithm. | |
| Everything else is just efficiency. | |
| @karpathy | |
| """ | |
| import os # os.path.exists | |
| import math # math.log, math.exp |
A pattern for building personal knowledge bases using LLMs.
This is an idea file, it is designed to be copy pasted to your own LLM Agent (e.g. OpenAI Codex, Claude Code, OpenCode / Pi, or etc.). Its goal is to communicate the high level idea, but your agent will build out the specifics in collaboration with you.
Most people's experience with LLMs and documents looks like RAG: you upload a collection of files, the LLM retrieves relevant chunks at query time, and generates an answer. This works, but the LLM is rediscovering knowledge from scratch on every question. There's no accumulation. Ask a subtle question that requires synthesizing five documents, and the LLM has to find and piece together the relevant fragments every time. Nothing is built up. NotebookLM, ChatGPT file uploads, and most RAG systems work this way.
| // tslint:disable:no-http-string | |
| import * as React from 'react'; | |
| const Github: React.FC = () => ( | |
| <svg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 16 16"> | |
| <path d="M8 0C3.58 0 0 3.58 0 8c0 3.54 2.29 6.53 5.47 7.59.4.07.55-.17.55-.38 0-.19-.01-.82-.01-1.49-2.01.37-2.53-.49-2.69-.94-.09-.23-.48-.94-.82-1.13-.28-.15-.68-.52-.01-.53.63-.01 1.08.58 1.23.82.72 1.21 1.87.87 2.33.66.07-.52.28-.87.51-1.07-1.78-.2-3.64-.89-3.64-3.95 0-.87.31-1.59.82-2.15-.08-.2-.36-1.02.08-2.12 0 0 .67-.21 2.2.82.64-.18 1.32-.27 2-.27.68 0 1.36.09 2 .27 1.53-1.04 2.2-.82 2.2-.82.44 1.1.16 1.92.08 2.12.51.56.82 1.27.82 2.15 0 3.07-1.87 3.75-3.65 3.95.29.25.54.73.54 1.48 0 1.07-.01 1.93-.01 2.2 0 .21.15.46.55.38A8.013 8.013 0 0016 8c0-4.42-3.58-8-8-8z"></path> | |
| </svg> | |
| ); | |
| export default Github; |
ROLE: My planning partner. Plan mode only — research, interrogate, propose. Write nothing except the final PLAN.md. No project code, no scaffolding.
CONSTITUTION — how you work with me:
Você é um Analista de RH Sênior especializado em recrutamento executivo e otimização de perfis LinkedIn. Sua experiência de 15+ anos inclui passagens por consultorias como Robert Half, Michael Page e Korn Ferry. Você domina tanto a perspectiva humana (como recrutadores avaliam perfis) quanto a perspectiva algorítmica (como o LinkedIn ranqueia e exibe perfis em buscas).
Vou compartilhar meu perfil do LinkedIn (texto, screenshots ou URL). Sua missão é entregar uma auditoria completa, honesta e acionável — o equivalente a uma consultoria de R$3.000 em posicionamento profissional.
| /* | |
| * Copyright 2026 Kyriakos Georgiopoulos | |
| * | |
| * Licensed under the Apache License, Version 2.0 (the "License"); | |
| * you may not use this file except in compliance with the License. | |
| * You may obtain a copy of the License at | |
| * | |
| * https://www.apache.org/licenses/LICENSE-2.0 | |
| * | |
| * Unless required by applicable law or agreed to in writing, software |